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worthiness of autonomous vehicles cyber risk management, advanced threat intelligence secure-by-design for IoT and policy governance of cybersecurity For more details, please view https://www.ntu.edu.sg/cysren
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modeling, and AI experts, as part of the international project M2 LInES (https://m2lines.github.io) . You can read about some of our recent work here: Dheeshjith et al. 2025 , Duncan et al. 2025 , Pedersen
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research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2 LInES https://m2lines.github.io
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advanced analytical skills including statistical programming in Python, Stata, R, and/or SAS • Excellent communication and presentation skills • An ability to work both independently and in teams Benefits
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the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
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, and sleep stages using Python Contributing to and shaping cross-species computational modeling Leading publications and presenting results at international conferences Mentoring junior researchers and
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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using a range of specialised research techniques. Good knowledge of the R statistical programming language. Programming experience in C, C++ or Python is desirable. Excellent verbal and written
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elements in nonlinear analysis software (preferred Atena); • Documented experience in other software for nonlinear analysis of structures; the ability to use a programming environment (e.g., Python) will
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presentations and draft sections of research papers Location: Department of Economics, Harvard University, Cambridge, MA Supervisor: Professor Gita Gopinath, website: https://gopinath.scholars.harvard.edu